Dataset Information

Discrepancy between self-assessed hearing status and measured audiometric evaluation.

ABSTRACT:

Objective

The purpose of this study was to examine the difference between self-reported hearing status and hearing impairment assessed using conventional audiometry. The associated factors were examined when a concordance between self-reported hearing and audiometric measures was lacking.

Methods

In total, 19,642 individuals ?20 years of age who participated in the Korea National Health and Nutrition Examination Surveys conducted from 2009 through 2012 were enrolled. Pure-tone hearing threshold audiometry (PTA) was measured and classified into three levels: <25 dB (normal hearing); ?25 dB <40 dB (mild hearing impairment); and ?40 dB (moderate-to-severe hearing impairment). The self-reported hearing loss was categorized into 3 categories. The participants were categorized into three groups: the concordance (matched between self-reported hearing loss and audiometric PTA), overestimation (higher self-reported hearing loss compared to audiometric PTA), and underestimation groups (lower self-reported hearing loss compared to audiometric PTA). The associations of age, sex, education level, stress level, anxiety/depression, tympanic membrane (TM) status, hearing aid use, and tinnitus with the discrepancy between the hearing self-reported hearing loss and audiometric pure tone threshold results were analyzed using multinomial logistic regression analysis with complex sampling.

Results

Overall, 80.1%, 7.1%, and 12.8% of the participants were assigned to the concordance, overestimation, and underestimation groups, respectively. Older age (adjusted odds ratios [AORs] = 1.28 [95% confidence interval = 1.19-1.37] and 2.80 [2.62-2.99] for the overestimation and the underestimation groups, respectively), abnormal TM (2.17 [1.46-3.23] and 1.59 [1.17-2.15]), and tinnitus (2.44 [2.10-2.83] and 1.61 [1.38-1.87]) were positively correlated with both the overestimation and underestimation groups. Compared with specialized workers, service workers, manual workers, and the unemployed were more likely to be in the overestimation group (1.48 [1.11-1.98], 1.39 [1.04-1.86], and 1.50 [1.18-1.90], respectively), and service workers were more likely to be in the underestimation group (AOR = 1.42 [1.01-1.99]). Higher education level (0.77 [0.59-1.01] and 0.43 [0.33-0.57]) and hearing aid use (0.36 [0.17-0.77] and 0.23 [0.13-0.43]) were negatively associated with being in the underestimation group (0.43 [0.37-0.50]). Compared with males, females were less likely to be assigned to the underestimation group (0.43 [0.37-0.50]). Stress (1.98 [1.32-2.98]) and anxiety/depression (1.30 [1.06-1.59]) were associated with overestimation group.

Conclusion

Older age, lower education level, occupation, abnormal TM, non-hearing aid use, and tinnitus were related to both overestimation and underestimation groups. Male gender was related to underestimation, and stress and anxiety/depression were correlated with overestimation group. An understanding of these factors associated with the self-reported hearing loss will be instrumental to identifying and managing hearing-impaired individuals.

SUBMITTER: Kim SY

PROVIDER: S-EPMC5549722 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Discrepancy between self-assessed hearing status and measured audiometric evaluation.

Kim So Young SY Kim Hyung-Jong HJ Kim Min-Su MS Park Bumjung B Kim Jin-Hwan JH Choi Hyo Geun HG

PloS one 20170808 8

<h4>Objective</h4>The purpose of this study was to examine the difference between self-reported hearing status and hearing impairment assessed using conventional audiometry. The associated factors were examined when a concordance between self-reported hearing and audiometric measures was lacking.<h4>Methods</h4>In total, 19,642 individuals ≥20 years of age who participated in the Korea National Health and Nutrition Examination Surveys conducted from 2009 through 2012 were enrolled. Pure-tone hea ...[more]

PMID: 28792529

Similar Datasets

Project description:ObjectivesTinnitus and hearing loss commonly coexist, however, the temporal relation between tinnitus and hearing loss is complex and not fully understood. Our objective was to examine the longitudinal association between persistent tinnitus, bothersome tinnitus, and 3-year elevation of audiometric hearing thresholds.DesignWe conducted a longitudinal cohort study among 3106 women (mean age 59 years) who were participants in the Nurses' Health Study II (2012-2018). Information on tinnitus was obtained from biennial questionnaires. Longitudinal changes in air conduction thresholds (0.5 to 8 kHz) were assessed by pure-tone audiometry conducted by licensed audiologists at 19 audiology testing sites across the United States. Logistic regression was used to estimate multivariable-adjusted odds ratios (MVORs, 95% confidence interval [CI]) and evaluate the relations of persistent tinnitus (several days per week or more), bothersome tinnitus (interferes with work, sleep, or daily activities), and risk of 3-year elevation of hearing thresholds.ResultsPersistent tinnitus was associated with higher risk of 3-year elevation of hearing thresholds across a broad range of frequencies. Compared with women without tinnitus, the MVORs (95% CI) for ≥5-dB threshold elevation among women with persistent tinnitus were 1.01 (0.81, 1.25) at 0.5 kHz, 1.45 (1.17, 1.81) at 1 kHz, 1.25 (1.00, 1.56) at 2 kHz, 1.34 (1.07, 1.69) at 3 kHz, 1.34 (1.06, 1.70) at 4 kHz, 1.49 (1.16, 1.91) at 6 kHz, and 1.63 (1.25, 2.12) at 8 kHz. The magnitudes of the associations for ≥10-dB threshold elevation were similar. The magnitudes of the associations were substantially greater among women with bothersome tinnitus. For example, compared with women without tinnitus, the MVORs (95% CI) for a ≥5- and ≥10-dB elevation of hearing thresholds at 4 kHz were 2.97 (1.50, 5.89) and 2.79 (1.38, 5.65), respectively. The risk was elevated even among women with tinnitus who had clinically normal hearing thresholds at baseline. In analyses that examined the association of tinnitus and elevation of low-, mid- and high-frequency pure-tone average (PTA) hearing thresholds, the results were similar. Compared with women without tinnitus, the MVORs (95% CI) for ≥5-dB PTA elevation among women with persistent tinnitus were 1.29 (0.99,1.67) for LPTA(0.5,1,2 kHz); 1.44 (1.16, 1.78) for MPTA(3,4 kHz); and 1.38 (1.11, 1.71) for HPTA(6,8 kHz). For ≥10-dB elevation, the MVORs were 2.85 (1.55, 5.23), 1.52 (1.10, 2.09), and 1.41 (1.10, 1.82), respectively.ConclusionPersistent tinnitus was associated with substantially higher risk of 3-year hearing threshold elevation, even among women with clinically normal baseline hearing. The magnitudes of the associations were greater among those with bothersome tinnitus. Monitoring hearing sensitivities may be indicated in patients with tinnitus, including those without audiometric evidence of hearing impairment.

Project description:ObjectivesThe objectives of the study were to determine, among a population-based sample of Canadian adults, if risk factors for cardiovascular disease (alone and in combination) were associated with hearing loss. Cross-sectional and longitudinal associations (the latter with about 3 years of follow-up) were examined. Risk factors considered included diabetes, dyslipidemia, hypertension, obesity, and smoking. We also aimed to determine if associations were modified by sex and age group (45 to 54, 55 to 64, 65 to 74, and 75 to 86 years old at baseline).DesignA secondary analysis of data collected for the Canadian Longitudinal Study on Aging was performed. Data were collected in two waves, the first between 2012 and 2015, and the second between 2015 and 2018. Hearing was measured using screening air-conduction pure-tone audiometry. The outcome of interest was defined as the mid-frequency (1000, 2000, 3000, and 4000 Hz) pure-tone average for both ears. Diabetes was defined based on self-reported physician diagnosis, use of diabetes medications, or a hemoglobin A1c level ≥6.5%. Dyslipidemia was determined by blood lipid profile as defined using the Canadian guidelines for the diagnosis and treatment of dyslipidemia (low-density lipoprotein cholesterol ≥3.5 mmol/L or non-high-density lipoprotein cholesterol ≥4.3 mmol/L). Hypertension was determined by self-reported physician diagnosis or an average systolic blood pressure ≥140 mm Hg or an average diastolic blood pressure ≥90 mm Hg. Obesity was defined as a waist-to-height ratio ≥0.6. Smoking history was determined by self-report (current/former/never-smoker). Two composite measures of cardiovascular risk were also constructed: a count of the number of risk factors and a general cardiovascular risk profile (Framingham) score. Independent associations between risk factors for cardiovascular disease and hearing were determined using multivariable regression models. Survey weights were incorporated into the analyses. All results were disaggregated by sex. Effect modification according to age was determined using multiplicative interaction terms between the age group and each of the risk factor variables. A complete case (listwise deletion) approach was performed for the primary analysis. We then repeated the multivariable regression analyses using multiple imputation using chained equations to determine if the different approaches to dealing with missing data qualitatively changed the outcomes.ResultsIn longitudinal analyses, hypertension and the general cardiovascular risk profile score were associated with greater loss of hearing over the 3-year follow-up period for both sexes. In addition, smoking in males and obesity in females were associated with faster rates of hearing decline. In cross-sectional analyses, smoking, obesity, diabetes, and composite measures were each independently associated with worse hearing for both sexes (although for females, obesity was only associated with hearing loss in the 55 to 64-year-old age group). The results were similar for the complete case and multiple imputation approaches, but more cross-sectional associations were observed using multiple imputation.ConclusionsDiabetes, obesity, hypertension, and smoking were associated with hearing loss. Higher combinations of risk factors increased the risk of hearing loss. Further studies are needed to confirm age and sex differences and whether interventions to address these risk factors could slow the progression of hearing loss in older adults.

Project description:Presbyacusis, or age-related hearing loss, can be characterized in humans as metabolic and sensory phenotypes, based on patterns of audiometric thresholds that were established in animal models. The metabolic phenotype is thought to result from deterioration of the cochlear lateral wall and reduced endocochlear potential that decreases cochlear amplification and produces a mild, flat hearing loss at lower frequencies coupled with a gradually sloping hearing loss at higher frequencies. The sensory phenotype, resulting from environmental exposures such as excessive noise or ototoxic drugs, involves damage to sensory and non-sensory cells and loss of the cochlear amplifier, which produces a 50-70 dB threshold shift at higher frequencies. The mixed metabolic + sensory phenotype exhibits a mix of lower frequency, sloping hearing loss similar to the metabolic phenotype, and steep, higher frequency hearing loss similar to the sensory phenotype. The current study examined audiograms collected longitudinally from 343 adults 50-93 years old (n = 686 ears) to test the hypothesis that metabolic phenotypes increase with increasing age, in contrast with the sensory phenotype. A Quadratic Discriminant Analysis (QDA) was used to classify audiograms from each of these ears as (1) Older-Normal, (2) Metabolic, (3) Sensory, or (4) Metabolic + Sensory phenotypes. Although hearing loss increased systematically with increasing age, audiometric phenotypes remained stable for the majority of ears (61.5 %) over an average of 5.5 years. Most of the participants with stable phenotypes demonstrated matching phenotypes for the left and right ears. Audiograms were collected over an average period of 8.2 years for ears with changing audiometric phenotypes, and the majority of those ears transitioned to a Metabolic or Metabolic + Sensory phenotype. These results are consistent with the conclusion that the likelihood of metabolic presbyacusis increases with increasing age in middle to older adulthood.

Dataset Information

Discrepancy between self-assessed hearing status and measured audiometric evaluation.

Objective

Methods

Results

Conclusion

Publications

Discrepancy between self-assessed hearing status and measured audiometric evaluation.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets